DocumentCode :
857928
Title :
Hierarchical interpolation
Author :
Viergever, Max A. ; Roos, Paul
Author_Institution :
Comput. Vision Res. Group, Univ. Hospital Utretcht, Netherlands
Volume :
12
Issue :
1
fYear :
1993
fDate :
3/1/1993 12:00:00 AM
Firstpage :
48
Lastpage :
55
Abstract :
A state-of-the-art report on reversible (or lossless, or error-free, or information preserving) compression of medical images is presented. Reversible compression consists of two steps, decorrelation and coding. Methods for intraframe decorrelation of 2-D images can be divided into three classes, viz., transform, predictive, and multiresolution decorrelation. Transform decorrelation methods are found to be unsuited for reversible compression. DPCM (differential pulse code modulation) the best predictive method, decorrelates well, but has a great disadvantage in its parameter dependency.<>
Keywords :
data compression; interpolation; medical image processing; 2D images; differential pulse code modulation; hierarchical interpolation; image coding; intraframe decorrelation; medical images compression; multiresolution decorrelation; parameter dependency; reversible compression; transform decorrelation methods; Biomedical imaging; Bit rate; Costs; Data compression; Digital images; Image coding; Image storage; Interpolation; Memory; Nuclear medicine;
fLanguage :
English
Journal_Title :
Engineering in Medicine and Biology Magazine, IEEE
Publisher :
ieee
ISSN :
0739-5175
Type :
jour
DOI :
10.1109/51.195940
Filename :
195940
Link To Document :
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